OCR MEI S3 2016 June — Question 2 18 marks

Exam BoardOCR MEI
ModuleS3 (Statistics 3)
Year2016
SessionJune
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicChi-squared goodness of fit
TypeChi-squared goodness of fit: Given ratios
DifficultyStandard +0.3 This is a straightforward application of two standard statistical tests (chi-squared goodness of fit and Wilcoxon signed rank) with clear instructions and given ratios/hypotheses. Both parts require routine application of learned procedures with minimal problem-solving or conceptual insight, making it slightly easier than average for Further Maths Statistics.
Spec5.06a Chi-squared: contingency tables5.07b Sign test: and Wilcoxon signed-rank

2
  1. A genetic model involving body colour and eye colour of fruit flies predicts that offspring will consist of four phenotypes in the ratio \(9 : 3 : 3 : 1\). A random sample of 200 such offspring is taken. Their phenotypes are found to be as follows.
    PhenotypeBrown body Red eyeBrown body Brown eyeBlack body Red eyeBlack body Brown eye
    Frequency12537326
    Relative proportion from model9331
    Carry out a test, using a \(2.5 \%\) level of significance, of the goodness of fit of the genetic model to these data.
  2. The median length of European fruit flies is 2.5 mm . South American fruit flies are believed to be larger than European fruit flies. A random sample of 12 South American fruit flies is taken. The flies are found to have the following lengths (in mm). \(1.7 \quad 1.4\) \(3.1 \quad 3.5\) 3.8
    4.2
    2.2
    2.9
    4.4
    2.6 \(3.9 \quad 3.2\) Carry out a Wilcoxon signed rank test, using a \(5 \%\) level of significance, to test this belief.

Question 2:
Part a:
AnswerMarks Guidance
\(H_0\): The (genetic) model fits the data. \(H_1\): The (genetic) model does not fit the dataB1 Both hypotheses; Not 'data fits model'
Observed: 125, 37, 32, 6; Expected: 112.5, 37.5, 37.5, 12.5B1 Expected values correct
Contributions: 1.3889, 0.0067, 0.8067, 3.38M1, A1 use of \(\frac{(O-E)^2}{E}\) (at least one correct); all correct to 3dp where appropriate
\(X^2 = 5.582\)A1 cao (3sf or 4sf)
Degrees of freedom \(= 3\)B1 no FT if wrong (can be implied by 9.348)
Critical value \(= 9.348\)B1 no FT if wrong
\(5.582 < 9.348 \rightarrow\) cannot reject \(H_0\)M1 FT their \(X^2\)
The data give no reason to doubt the genetic modelE1 Do not accept 'data fits model'; but 'Evidence suggests that model fits the data' is fine
Part b:
AnswerMarks Guidance
\(H_0: m = 2.5\); \(H_1: m > 2.5\)B1 both hypotheses
where \(m\) is the population median length (of South American fruit flies)B1 definition including median, population, and context
Subtract 2.5, ranking with all ranks correct (table shown)M1, M1, A1
\(W_- = 16, W_+ = 62\)B1 for either, cao
\((n=12)\), Critical value \(= 17\); \((16 < 17 \rightarrow)\) reject \(H_0\)B1 allow 61 if compared to 62. No FT if wrong
Suggests population median length of South American fruit flies exceeds 2.5cmM1, A1 FT their \(W\); including median (or 'on average') and context
# Question 2:

## Part a:
$H_0$: The (genetic) model fits the data. $H_1$: The (genetic) model does not fit the data | B1 | Both hypotheses; Not 'data fits model'
Observed: 125, 37, 32, 6; Expected: 112.5, 37.5, 37.5, 12.5 | B1 | Expected values correct
Contributions: 1.3889, 0.0067, 0.8067, 3.38 | M1, A1 | use of $\frac{(O-E)^2}{E}$ (at least one correct); all correct to 3dp where appropriate
$X^2 = 5.582$ | A1 | cao (3sf or 4sf)
Degrees of freedom $= 3$ | B1 | no FT if wrong (can be implied by 9.348)
Critical value $= 9.348$ | B1 | no FT if wrong
$5.582 < 9.348 \rightarrow$ cannot reject $H_0$ | M1 | FT their $X^2$
The data give no reason to doubt the genetic model | E1 | Do not accept 'data fits model'; but 'Evidence suggests that model fits the data' is fine

## Part b:
$H_0: m = 2.5$; $H_1: m > 2.5$ | B1 | both hypotheses
where $m$ is the population median length (of South American fruit flies) | B1 | definition including median, population, and context
Subtract 2.5, ranking with all ranks correct (table shown) | M1, M1, A1 |
$W_- = 16, W_+ = 62$ | B1 | for either, cao
$(n=12)$, Critical value $= 17$; $(16 < 17 \rightarrow)$ reject $H_0$ | B1 | allow 61 if compared to 62. No FT if wrong
Suggests population median length of South American fruit flies exceeds 2.5cm | M1, A1 | FT their $W$; including median (or 'on average') and context

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2
\begin{enumerate}[label=(\alph*)]
\item A genetic model involving body colour and eye colour of fruit flies predicts that offspring will consist of four phenotypes in the ratio $9 : 3 : 3 : 1$.

A random sample of 200 such offspring is taken. Their phenotypes are found to be as follows.

\begin{center}
\begin{tabular}{|l|l|l|l|l|}
\hline
Phenotype & Brown body Red eye & Brown body Brown eye & Black body Red eye & Black body Brown eye \\
\hline
Frequency & 125 & 37 & 32 & 6 \\
\hline
Relative proportion from model & 9 & 3 & 3 & 1 \\
\hline
\end{tabular}
\end{center}

Carry out a test, using a $2.5 \%$ level of significance, of the goodness of fit of the genetic model to these data.
\item The median length of European fruit flies is 2.5 mm . South American fruit flies are believed to be larger than European fruit flies. A random sample of 12 South American fruit flies is taken. The flies are found to have the following lengths (in mm).\\
$1.7 \quad 1.4$\\
$3.1 \quad 3.5$\\
3.8\\
4.2\\
2.2\\
2.9\\
4.4\\
2.6\\
$3.9 \quad 3.2$

Carry out a Wilcoxon signed rank test, using a $5 \%$ level of significance, to test this belief.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI S3 2016 Q2 [18]}}